A disaggregate Box-Cox Logit mode choice model of intercity passenger travel in Germany and its implications for high-speed rail demand forecasts

1997 ◽  
Vol 31 (2) ◽  
pp. 99-120 ◽  
Author(s):  
Benedikt Mandel ◽  
Marc Gaudry ◽  
Werner Rothengatter
Keyword(s):  
High Speed ◽  
Choice Model ◽  
Mode Choice ◽  
High Speed Rail ◽  
Passenger Travel ◽  
Mode Choice Model ◽  
Demand Forecasts

On the Usefulness of a Combined Mode Choice-Schedule Choice Model: Case of the Paris–Bordeaux Rail Line (France)

2019 ◽  
Vol 2673 (4) ◽  
pp. 697-707
Author(s):  
Minghui Chen ◽  
Stéphanie Souche Le Corvec
Keyword(s):  
High Speed ◽  
Choice Model ◽  
Mode Choice ◽  
Discrete Choice Models ◽  
Transport Infrastructure ◽  
Model Case ◽  
High Speed Rail ◽  
Schedule Delay ◽  
Early Arrival ◽  
Rail Line

The high-speed rail line (HSR) Ligne à Grande Vitesse Sud Europe Atlantique (LGV SEA) was inaugurated and put into operation on July 2, 2017. Since then, a decrease has been observed in air traffic and in air service frequency on the Paris–Bordeaux route. This paper examines the competition between HSR and air transportation services and the influence of this new transport infrastructure on passenger behavior. Using discrete choice models along with data from traveler surveys, an econometric analysis of traveler demand is conducted, dealing jointly with mode choice and schedule choice between Paris and Bordeaux. Results demonstrate that the variables specifically constructed to represent the schedule delay cost are significant, with late arrival generating relatively greater costs compared with early arrival. This model also makes it possible to evaluate the quality of transport timetable proposed by the transportation operators with the help of market share prediction.

scholarly journals An Intercity Freight Mode Choice Model : A Case Study of High Speed Rail Link Northern Line Thailand (Bangkok – Chiangmai)

2020 ◽  
Vol 308 ◽  
pp. 04003
Author(s):  
Jessada Pochan ◽  
Wachira Wichitphongsa
Keyword(s):  
High Speed ◽  
Choice Model ◽  
Stated Preference ◽  
Mode Choice ◽  
Selling Price ◽  
High Speed Rail ◽  
Time Frequency ◽  
Rail System ◽  
Loading And Unloading ◽  
Freight Mode Choice

This paper presents a model capturing the intercity freight mode choice behaviour in high-speed rail system from Bangkok to Chiangmai. The model is developed based on the stated preference data collected from 800 freight operators, wholesaler, retailer, and people. The results show that, when the high-speed rail system from Bangkok to Chiangmai are developing in the future, the suitable products for high-speed rail system are types of an express mail service (EMS), air cargo, gold, jewellery, gold accessories, computer circuit boards, high prices agricultural products such as fruit, and flowers. Most of determining the selling price will fluctuate with the speed of transport and damage impairment of the product. With the application of discrete choice models, the results show that, aside from travel cost and time, loading and unloading, delays time, frequency are statistically significant. The application of model indicated that the holder and freight forwarder which in the line of high-speed rail (Bangkok – Chiangmai) tend to use rail-transport such as double-track rail is 27.71%, high-speed rail is 11.18% and the most is trucks 56.51% which is a policy development point loading and unloading, multimodal transportation efficiency and safety of the portion of the freight high-speed rail increased.

scholarly journals Development of Mode Choice Model for the Implementation of Next-generation High Speed Train(HEMU-430X)

2015 ◽  
Vol 33 (5) ◽  
pp. 461-469
Author(s):  
Kwang Sub LEE ◽  
Sung Bong CHUNG ◽  
Jin Ki EOM ◽  
Baek Kyu NAMKUNG ◽  
Seok Won KIM
Keyword(s):  
High Speed ◽  
Choice Model ◽  
Mode Choice ◽  
High Speed Train ◽  
Next Generation ◽  
Mode Choice Model

scholarly journals Econometric Calibration of the Joint Time Assignment–Mode Choice Model

2008 ◽  
Vol 42 (2) ◽  
pp. 208-219 ◽  
Author(s):  
Marcela Munizaga ◽  
Sergio Jara-Díaz ◽  
Paulina Greeven ◽  
Chandra Bhat
Keyword(s):  
Choice Model ◽  
Mode Choice ◽  
Mode Choice Model
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